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Sampling methods for investment portfolio formulation procedure at increased market volatility

Author

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  • Dzicher Mateusz

    (Department of Applied Mathematics College of Finance, University of Economics in Katowice, Poland)

Abstract

Aim/purpose – In this paper, a market volatility-robust portfolio composition framework under the modified Markowitz’s approach with the use of sampling methods is developed in order to improve the allocation efficiency for a portfolio of financial instruments formulation procedure at an increased market volatility.

Suggested Citation

  • Dzicher Mateusz, 2021. "Sampling methods for investment portfolio formulation procedure at increased market volatility," Journal of Economics and Management, Sciendo, vol. 43(1), pages 70-89, January.
  • Handle: RePEc:vrs:jecman:v:43:y:2021:i:1:p:70-89:n:1
    DOI: 10.22367/jem.2021.43.04
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    References listed on IDEAS

    as
    1. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    2. Geert Bekaert & Campbell R. Harvey & Angela Ng, 2005. "Market Integration and Contagion," The Journal of Business, University of Chicago Press, vol. 78(1), pages 39-70, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    investment decisions; optimization techniques; portfolio selection; statistical simulation methods;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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